Alignerr is hiring for Data Operations Specialist

Role :

Data Operations Specialist

Location :

WORK FROM HOME

JOB DESCRIPTION:

What if your ability to keep things operating smoothly and organize information could directly influence the AI systems that are changing our world? To ensure that models are trained on accurate, consistent, and impact-ready data, we are seeking Data Operations Specialists to manage, clean, organize, and quality-check the datasets that power cutting-edge AI.
This is organized, significant work at the nexus of AI and data. A technical degree or prior machine learning experience are not necessary; all you need is a meticulous mind, keen attention to detail, and a strong desire to do things well.

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To guarantee that raw datasets satisfy quality requirements for AI training, clean, arrange, and structure them.
Find and fix missing values, formatting mistakes, duplication, and inconsistent data.
Adhere precisely to standard operating procedures and comprehensive data processing rules.
To ensure accuracy and consistency, conduct quality assurance tests on vast amounts of data.
Data should be tagged, categorized, and transformed in accordance with project-specific needs and schemas.
Keep an eye on data pipelines and identify problems that can impact the performance of downstream AI models.
Clearly convey results, monitor progress, and document procedures.
Work on task-based assignments on your own time and at your own speed.

Education Required:

Any Graduation

Any stream

Fresher’s

Experienced also

skills

Extremely meticulous and methodical in their approach to work
At ease using databases, spreadsheets, or web-based data tools
Capable of attentively adhering to specified instructions and applying them consistently at scale
Strong problem-solving instincts: you recognize trends, mistakes, and abnormalities that others overlook
Clear writer with the ability to efficiently record problems and procedures
Self-driven, dependable, and effective when working on their own
No prior engineering, AI, or data operations experience is necessary.

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